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Runtime error
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Browse files
app.py
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import time
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import numpy as np
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import pandas as pd
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import streamlit as st
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from streamlit_option_menu import option_menu
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from streamlit_extras.add_vertical_space import add_vertical_space
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@@ -48,6 +46,24 @@ def streamlit_config():
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st.markdown(page_background_color, unsafe_allow_html=True)
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st.markdown(f'<h1 style="text-align: center;">Talent Track By AI</h1>', unsafe_allow_html=True)
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class resume_analyzer:
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def pdf_to_chunks(pdf):
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pdf_reader = PdfReader(pdf)
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def resume_summary():
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with st.form(key='Summary'):
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if
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st.write(summary)
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except Exception as e:
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st.markdown(f'<h5 style="text-align: center;color: orange;">{e}</h5>', unsafe_allow_html=True)
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elif pdf is None:
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st.markdown(f'<h5 style="text-align: center;color: orange;">Please Upload Your Resume</h5>', unsafe_allow_html=True)
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def strength_prompt(query_with_chunks):
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query = f'''need to detailed analysis and explain of the strength of below resume and finally conclude them
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def resume_strength():
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with st.form(key='Strength'):
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if
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st.
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elif pdf is None:
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st.markdown(f'<h5 style="text-align: center;color: orange;">Please Upload Your Resume</h5>', unsafe_allow_html=True)
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def weakness_prompt(query_with_chunks):
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query = f'''need to detailed analysis and explain of the weakness of below resume and how to improve make a better resume.
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def resume_weakness():
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with st.form(key='Weakness'):
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if
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st.
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elif pdf is None:
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st.markdown(f'<h5 style="text-align: center;color: orange;">Please Upload Your Resume</h5>', unsafe_allow_html=True)
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def job_title_prompt(query_with_chunks):
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query = f''' what are the job roles i apply to likedin based on below?
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def job_title_suggestion():
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with st.form(key='Job Titles'):
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if
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st.
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elif pdf is None:
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st.markdown(f'<h5 style="text-align: center;color: orange;">Please Upload Your Resume</h5>', unsafe_allow_html=True)
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class linkedin_scraper:
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def webdriver_setup():
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import time
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import numpy as np
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import pandas as pd
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import streamlit as st
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from streamlit_option_menu import option_menu
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from streamlit_extras.add_vertical_space import add_vertical_space
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st.markdown(page_background_color, unsafe_allow_html=True)
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st.markdown(f'<h1 style="text-align: center;">Talent Track By AI</h1>', unsafe_allow_html=True)
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def process_resume(pdf):
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if pdf is not None:
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try:
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with st.spinner('Processing...'):
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pdf_chunks = resume_analyzer.pdf_to_chunks(pdf)
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summary_prompt = resume_analyzer.summary_prompt(query_with_chunks=pdf_chunks)
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summary = resume_analyzer.openai(chunks=pdf_chunks, analyze=summary_prompt)
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if summary:
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st.session_state['resume_data'] = {
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'pdf': pdf,
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'chunks': pdf_chunks,
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'summary': summary
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}
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return True
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except Exception as e:
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st.markdown(f'<h5 style="text-align: center;color: orange;">{e}</h5>', unsafe_allow_html=True)
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return False
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class resume_analyzer:
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def pdf_to_chunks(pdf):
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pdf_reader = PdfReader(pdf)
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def resume_summary():
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with st.form(key='Summary'):
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add_vertical_space(1)
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if 'resume_data' not in st.session_state:
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pdf = st.file_uploader(label='Upload Your Resume', type='pdf')
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add_vertical_space(2)
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submit = st.form_submit_button(label='Submit')
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add_vertical_space(1)
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else:
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st.info("Using previously uploaded resume")
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submit = st.form_submit_button(label='Analyze Again')
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if 'resume_data' not in st.session_state:
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if pdf is not None:
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if process_resume(pdf):
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st.markdown(f'<h4 style="color: orange;">Summary:</h4>', unsafe_allow_html=True)
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st.write(st.session_state['resume_data']['summary'])
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else:
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st.markdown(f'<h4 style="color: orange;">Summary:</h4>', unsafe_allow_html=True)
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st.write(st.session_state['resume_data']['summary'])
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def strength_prompt(query_with_chunks):
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query = f'''need to detailed analysis and explain of the strength of below resume and finally conclude them
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def resume_strength():
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with st.form(key='Strength'):
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add_vertical_space(1)
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if 'resume_data' not in st.session_state:
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pdf = st.file_uploader(label='Upload Your Resume', type='pdf')
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add_vertical_space(2)
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submit = st.form_submit_button(label='Submit')
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add_vertical_space(1)
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else:
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st.info("Using previously uploaded resume")
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submit = st.form_submit_button(label='Analyze Again')
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if 'resume_data' not in st.session_state:
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if pdf is not None:
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if process_resume(pdf):
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strength_prompt = resume_analyzer.strength_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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strength = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=strength_prompt)
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if strength:
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st.markdown(f'<h4 style="color: orange;">Strength:</h4>', unsafe_allow_html=True)
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st.write(strength)
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else:
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strength_prompt = resume_analyzer.strength_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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strength = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=strength_prompt)
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if strength:
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st.markdown(f'<h4 style="color: orange;">Strength:</h4>', unsafe_allow_html=True)
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st.write(strength)
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def weakness_prompt(query_with_chunks):
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query = f'''need to detailed analysis and explain of the weakness of below resume and how to improve make a better resume.
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def resume_weakness():
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with st.form(key='Weakness'):
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add_vertical_space(1)
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if 'resume_data' not in st.session_state:
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pdf = st.file_uploader(label='Upload Your Resume', type='pdf')
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add_vertical_space(2)
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submit = st.form_submit_button(label='Submit')
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add_vertical_space(1)
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else:
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st.info("Using previously uploaded resume")
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submit = st.form_submit_button(label='Analyze Again')
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if 'resume_data' not in st.session_state:
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if pdf is not None:
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if process_resume(pdf):
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weakness_prompt = resume_analyzer.weakness_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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weakness = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=weakness_prompt)
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if weakness:
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st.markdown(f'<h4 style="color: orange;">Weakness and Suggestions:</h4>', unsafe_allow_html=True)
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st.write(weakness)
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else:
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weakness_prompt = resume_analyzer.weakness_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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weakness = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=weakness_prompt)
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if weakness:
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st.markdown(f'<h4 style="color: orange;">Weakness and Suggestions:</h4>', unsafe_allow_html=True)
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st.write(weakness)
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def job_title_prompt(query_with_chunks):
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query = f''' what are the job roles i apply to likedin based on below?
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def job_title_suggestion():
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with st.form(key='Job Titles'):
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add_vertical_space(1)
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if 'resume_data' not in st.session_state:
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pdf = st.file_uploader(label='Upload Your Resume', type='pdf')
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add_vertical_space(2)
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submit = st.form_submit_button(label='Submit')
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add_vertical_space(1)
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else:
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st.info("Using previously uploaded resume")
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submit = st.form_submit_button(label='Analyze Again')
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add_vertical_space(1)
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add_vertical_space(3)
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if submit:
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if 'resume_data' not in st.session_state:
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if pdf is not None:
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if process_resume(pdf):
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job_title_prompt = resume_analyzer.job_title_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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job_title = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=job_title_prompt)
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if job_title:
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st.markdown(f'<h4 style="color: orange;">Job Titles:</h4>', unsafe_allow_html=True)
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st.write(job_title)
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else:
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job_title_prompt = resume_analyzer.job_title_prompt(query_with_chunks=st.session_state['resume_data']['summary'])
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job_title = resume_analyzer.openai(chunks=st.session_state['resume_data']['chunks'], analyze=job_title_prompt)
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if job_title:
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st.markdown(f'<h4 style="color: orange;">Job Titles:</h4>', unsafe_allow_html=True)
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st.write(job_title)
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class linkedin_scraper:
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def webdriver_setup():
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